Evidence map›Paper›PMID 34957356›Full record

ArticleCurrent opinion in biomedical engineering2021

The Utility and Potential of Mathematical Models in Predicting Fibrinolytic Outcomes.

Brittany E Bannish, Nathan E Hudson

Open access · greenAbstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Fibrinolysis: an illustrated review.Research and practice in thrombosis and haemostasis · 2023
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Brittany E BannishDepartment of Mathematics and Statistics, University of Central Oklahoma, Edmond, OK 73034, USA.
Nathan E HudsonNathan E. Hudson, Department of Physics, East Carolina University, Greenville, NC 27858, USA.
East Carolina University · USUniversity of Central Oklahoma · US

Funding

Identifying the function of the Fibrin(ogen) alpha-C connector regionR15HL148842 · NHLBI · EAST CAROLINA UNIVERSITY · PI HUDSON, NATHAN · 2019 to 2024
$893k
Identifying structural differences between fibrinogen and fibrin to provide novel therapeutic targetsR15HL150666 · NHLBI · EAST CAROLINA UNIVERSITY · PI OFFENBACHER, ADAM · 2020 to 2020
$441k
Linking Dynamical Contributions to Biological Hydrogen Tunneling in LipoxygenasesF32GM113432 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI OFFENBACHER, ADAM · 2015 to 2016
$120k
NHLBI NIH HHS R15 HL148842NHLBI NIH HHS R15 HL150666NIGMS NIH HHS F32 GM113432
6 · The paper itself

Abstract

The enzymatic degradation of blood clots, fibrinolysis, is an important part of a healthy hemostatic system. If intrinsic fibrinolysis is ineffective, thrombolysis - the clinically-induced enzymatic degradation of blood clots - may be necessary to treat life-threatening conditions. In this review we discuss recent models of fibrinolysis and thrombolysis, and open questions that could be resolved through modeling and modeling-experimental collaboration. In particular, we focus on 2- and 3-dimensional models that can be used to study effects of fibrin network structure and realistic blood vessel geometries on the phenomena underlying lytic outcomes. Significant open questions such as the role of clot contraction, network and inherent fiber tension, and fibrinolytic inhibitors in lysis could benefit from mathematical models aimed at understanding the underlying biological mechanisms.

Indexed as

clot contractionfiber tensionfibrinolysisinhibitorsmathematical modelthrombolysis

Identifiers

PMID34957356
PMCPMC8694003
OpenAlexW3200703263

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.